Package: betaMC 1.3.2.9000
betaMC: Monte Carlo for Regression Effect Sizes
Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2023 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.
Authors:
betaMC_1.3.2.9000.tar.gz
betaMC_1.3.2.9000.zip(r-4.5)betaMC_1.3.2.9000.zip(r-4.4)betaMC_1.3.2.9000.zip(r-4.3)
betaMC_1.3.2.9000.tgz(r-4.4-any)betaMC_1.3.2.9000.tgz(r-4.3-any)
betaMC_1.3.2.9000.tar.gz(r-4.5-noble)betaMC_1.3.2.9000.tar.gz(r-4.4-noble)
betaMC_1.3.2.9000.tgz(r-4.4-emscripten)betaMC_1.3.2.9000.tgz(r-4.3-emscripten)
betaMC.pdf |betaMC.html✨
betaMC/json (API)
NEWS
# Install 'betaMC' in R: |
install.packages('betaMC', repos = c('https://jeksterslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeksterslab/betamc/issues
- nas1982 - 1982 National Academy of Sciences Doctoral Programs Data
confidence-intervalsmonte-carloregression-effect-sizesstandardized-regression-coefficients
Last updated 13 days agofrom:bbdcf4938d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 26 2024 |
R-4.5-win | OK | Aug 26 2024 |
R-4.5-linux | OK | Aug 26 2024 |
R-4.4-win | OK | Aug 26 2024 |
R-4.4-mac | OK | Aug 26 2024 |
R-4.3-win | OK | Aug 26 2024 |
R-4.3-mac | OK | Aug 26 2024 |
Exports:BetaMCDeltaRSqMCDiffBetaMCMCMCMIPCorMCRSqMCSCorMC
Dependencies: